Citations

BackgroundSarcopenia increases with age and is associated with poor survival outcomes in patients with cancer. By using a deep learning–based segmentation approach, clinical computed tomography (CT) images of the abdomen of patients with newly diagnosed multiple myeloma (NDMM) were reviewed to determine whether the presence of sarcopenia had any prognostic value.MethodsSarcopenia was detected by accurate segmentation and measurement of the skeletal muscle components present at the level of the L3 vertebrae. These skeletal muscle measurements were further normalized by the height of the patient to obtain the skeletal muscle index for each patient to classify them as sarcopenic or not.ResultsThe study cohort consisted of 322 patients of which 67 (28%) were categorized as having high risk (HR) fluorescence in situ hybridization (FISH) cytogenetics. A total of 171 (53%) patients were sarcopenic based on their peri‐diagnosis standard‐dose CT scan. The median overall survival (OS) and 2‐year mortality rate for sarcopenic patients was 44 months and 40% compared to 90 months and 18% for those not sarcopenic, respectively (p < .0001 for both comparisons). In a multivariable model, the adverse prognostic impact of sarcopenia was independent of International Staging System stage, age, and HR FISH cytogenetics.ConclusionsSarcopenia identified by a machine learning–based convolutional neural network algorithm significantly affects OS in patients with NDMM. Future studies using this machine learning–based methodology of assessing sarcopenia in larger prospective clinical trials are required to validate these findings.

ImportanceIndividuals with total joint arthroplasty (TJA) have long-term exposure to metal-containing implants; however, whether long-term exposure to artificial implants is associated with cognitive function is unknown.ObjectiveTo compare long-term cognitive trajectories in individuals with and without TJA.Design, Setting, and ParticipantsThis population-based cohort study assessed serial cognitive evaluations of 5550 participants (≥50 years of age) from the Mayo Clinic Study of Aging between November 1, 2004, and December 31, 2020.ExposuresTotal joint arthroplasty of the hip or the knee.Main Outcomes and MeasuresLinear mixed-effects models were used to compare the annualized rate of change in global and domain-specific cognitive scores in participants with and without TJA, adjusting for age, sex, educational level, apolipoprotein E ε4 carrier status, and cognitive test practice effects.ResultsA total of 5550 participants (mean [SD] age at baseline, 73.04 [10.02] years; 2830 [51.0%] male) were evaluated. A total of 952 participants had undergone at least 1 TJA of the hip (THA, n = 430) or the knee (TKA, n = 626) before or after entry into the cohort. Participants with TJA were older, more likely to be female, and had a higher body mass index than participants without TJA. No difference was observed in the rate of cognitive decline in participants with and without TJA until 80 years of age. A slightly faster cognitive decline at 80 years or older and more than 8 years from surgery was observed (b = −0.03; 95% CI, −0.04 to −0.02). In stratified analyses by surgery type, the faster decline was observed primarily among older participants with TKA (b = −0.04; 95% CI, −0.06 to −0.02).Conclusions and RelevanceIn this cohort study, long-term cognitive trajectories in individuals with and without TJA were largely similar except for a slightly faster decline among the oldest patients with TKA; however, the magnitude of difference was small and of unknown clinical significance.

Abstract B-cell lymphoma is a potential cause of spinal cord compression that presents with nonspecific symptoms and inconsistent imaging findings. Surgical decompression is a mainstay for both diagnosis and management especially in patients with acute neurologic deficits; however, the long-term efficacy of intervention is still unclear. We perform a systematic review of the clinical symptoms, radiographic findings, and outcome after spinal decompression in B-cell lymphoma. The databases of Medline, PubMed, and the Cochrane Database of Systemic Reviews were queried for all articles reporting spinal B-cell lymphoma. Data on presenting symptoms, histological markers, treatment and survival outcomes were extracted. Bivariate and Multivariate Cox survival regression models and Kaplan-Meier curves were generated using R software survival package. In total, 57 studies were included with 72 patients diagnosed with spinal B-cell lymphoma. Mean age was 56.22 (IQR: 45.00-70.25) with 68% of patients being male and 4.2% of patients being immunocompromised. Back pain was the most common symptom (74%) with B symptoms and cauda equina symptoms present in only 6% and 29% respectively. Mean length of symptoms before presentation was 3.81 months (IQR: 0.45-3.25). The most common location was the thoracic spine (53%), with a majority of the lesions being hyperintense (28%) on T2 MRI. Surgical resection was performed in 83% of patients. Symptoms improved in 88% of patients after surgery and 80% of patients treated nonoperatively. OS at one- and five-years was 85% (95% CI: 0.749-0.953; n=72) and 66% (95% CI: 0.512-0.847; n=72), respectively. Age &gt; 70 was associated with poorer OS in bivariate (HR 4.07 [95% CI: 1.328-12.46], p &lt; 0.01; n=72) and multivariate analysis (HR 3.829 [95% CI: 1.158-12.662], p &lt; 0.03; n=72). Primary spinal B-cell lymphoma can have a variety of presentations. Both surgery and nonoperative management may have similar improvement in symptoms. Age &gt; 70 appears to confer poorer OS.

AbstractThe poor generalizability of clinical research data due to the enrollment of highly educated, non‐Latinx White participants hampers the development of therapies for Alzheimer's disease (AD). Black and Latinx older adults have a greater risk for dementia, yet it is unclear how health‐care disparities and sociocultural factors influence potential AD therapies and prognosis. Low enrollment of under‐represented populations may be attributable to several factors including greater exclusion due to higher rates of comorbidities, lower access to AD clinics, and the legacy of unethical treatment in medical research. This perspective outlines solutions tested in the Brain Health Registry (BHR) and the Alzheimer's Disease Neuroimaging Initiative (ADNI), including culturally‐informed digital research methods, community‐engaged research strategies, leadership from under‐represented communities, and the reduction of exclusion criteria based on comorbidities. Our successes demonstrate that it is possible to increase the inclusion and engagement of under‐represented populations into US‐based clinical studies, thereby increasing the generalizability of their results.